A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
A research team led by professor Nan-Hee Kim from Korea University's College of Medicine (Nan-Hee Kim and So-Young Park of Department of Endocrinology and Metabolism; Min-Hee Kim and Jae-Young Kim of ...
What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...
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Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
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